Unlocking AI in Infusion Centers: Tackling Tech, Regulation, and Value

Speakers

A man in a navy suit, white shirt, and blue patterned tie poses confidently in front of a plain, light gray background, reflecting the professionalism seen in leaders leveraging AI in healthcare.
Clayton Irvine, PharmD, MBA, MS
Senior Manager, Oncology Cancer Care, Mayo Clinic
A woman with long dark hair wearing a navy blazer and white top, smiling in front of a plain gray background, embodies confidence in leveraging AI in healthcare.
Shikha Jain MD, FACP
Associate Professor of Medicine Associate Director of Oncology Communication & Digital Innovation| University of Illinois Cancer Center President & CEO Founder, Women in Medicine® NFP
A man wearing glasses, a navy blue suit, white shirt, and plaid tie is smiling at the camera in an indoor setting, reflecting confidence and professionalism in leveraging AI in healthcare.
Justin Kelley
Infusion Solutions Executive, LeanTaaS

Summary

Artificial intelligence (AI) promises to transform healthcare by unlocking insights from data that can improve efficiency, lower costs, and enhance patient outcomes. As AI techniques such as machine learning, natural language processing, and computer vision advance, they have the potential to revolutionize clinical care and hospital operations.

Leading healthcare organizations are already leveraging AI to optimize everything from medical imaging and diagnostics to population health management and administrative workflows. AI-powered solutions deliver more proactive, preventive, and personalized care by analyzing patient data to identify trends, risk factors, and opportunities to intervene.

In the pursuit of competitiveness, AI-powered enterprises have taken a decisive lead, but for those that hesitate or lag behind, there’s still an opportunity to catch up by identifying and implementing the right tools to gain an advantage.

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